1.0Blog - Silicon Cloudhttps://www.silicloud.com/blogIsabella Edwardshttps://www.silicloud.com/blog/author/isabellaedwards/How to view TensorFlow model parameters?rich600338<blockquote class="wp-embedded-content" data-secret="Uoct9vuK7s"><a href="https://www.silicloud.com/blog/how-to-view-tensorflow-model-parameters/">How to view TensorFlow model parameters?</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.silicloud.com/blog/how-to-view-tensorflow-model-parameters/embed/#?secret=Uoct9vuK7s" width="600" height="338" title="“How to view TensorFlow model parameters?” — Blog - Silicon Cloud" data-secret="Uoct9vuK7s" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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In TensorFlow, you can use the model.summary() method to view the parameters of the model. This method will print out the structure of the model and the number of parameters in each layer. An example is shown below: import tensorflow as tf # 创建模型 model = tf.keras.Sequential([ tf.keras.layers.Dense(64, activation='relu', input_shape=(784,)), tf.keras.layers.Dense(64, activation='relu'), tf.keras.layers.Dense(10, activation='softmax') ]) […]